\begin{abstract}
% Make this interesting... Also mention childrens books...
\noindent In this report we deal with creating software capable of
automatically creating a lexicon with images of objects, associated
with their corresponding natural language (English) name tag. We
introduce the field of automatic image annotation and current state
of the art techniques. There is much work done in the field up until
today and we have incorporated some of it in our system. Current
systems usually use large datasets, but we have tested our system on
picture books for children. Parts of our system works well with this
small dataset, but other parts don't. We feel that further attempts at
automatically generating a word-image lexicon should make use of large
datasets for training.\\

\noindent Project done as part of the course: \emph{Project in Artificial
Intelligence TIN171} at Chalmers University of Technology, Gothenburg.\\

\noindent \textbf{Keywords:} \emph{Object-detection, image-recognition, nlp,
machine learning, automatic image annotation}.
\end{abstract}
